Delano J. McFarlane, MEng., MPhil.
PhD Candidate
Department of Biomedical Informatics
Columbia University College of Physicians and Surgeons
622 W. 168th Street, VC 5th Floor
New York, NY 10032
delano@dbmi.columbia.edu

Research Interests

My primary research area is Public Health Informatics. I am conducting research into automating the analysis of the media's coverage of health. I have built SalientNews, a news aggregation and analysis system which uses natural language processing and information retrieval methods to identify trends in the media's coverage of health topics. My goals are to develop new methods for evaluating health news and to use those methods to explore and evaluate the media's coverage of health.

In addition I am interested in the effective use and impact of newer web technologies both in Public Health Informatics and in other biomedical informatics areas. In particular, web 2.0 technologies, design paradigms and applications hold great promise for use in areas ranging from health literacy and health promotion to the improved Human Computer Interface (HCI) design of clinical information systems. Social networking, collaborative content creation, content sharing and collective social knowledge web sites have tranformed the landscape of the internet and will soon have a similar tranformative impact on the ways in which people interact with health information. The GetHealthyHarlem.org is a project that I am involved with that leverages social collaboration technologies to promote health in the Harlem NYC community.

Background

I received my Bachelors and Masters of Engineering in Computer Science from the Massachusetts Institute of Technology in 1995 and 1996. As an undergraduate my interests were Computer Systems, Computer Graphics and Artificial Intelligence. My Masters of Engineering Thesis was the design and implementation of a multi-threaded raytracing algorithm for the rendering of 3-dimensional scenes.

I worked in the software and internet development industries for a number of years. I first interned as a product manager at Microsoft. I worked as a consultant for Oracle Corporation and then later for Technology Solutions Company. During the height of the dot com boom I worked as a software engineer and engineering manager at DoubleClick and then as a system architect at an internet startup named MetaRun. I later worked as an architect, engineer and manager at RightMedia.

I have also developed a number of software applications used for data analysis and data acquisition in physiological research. The software that I have developed is in use on a number of academic research projects at Columbia University as well as other research facilities across the country.

Publications

Perplexity Analysis of Obesity News Coverage.
McFarlane DJ, Elhadad N., Kukafka R., AMIA Annu Symp Proc. 2009 Nov 12

A vector space method to quantify agreement in qualitative data.
McFarlane DJ, Ancker J, Kukafka R.(McFarlane & Ancker have equal authorship), AMIA Annu Symp Proc. 2008 Nov 6:455-9

Perceived Racism And Negative Affect: Analysis Of Trait And State Measures Of Affect In A Community Sample
Brondolo, Elizabeth; Brady, Nisha; Thompson, Shola; Tobin, Jonathan N.; Cassells, Andrea; Sweeney, Monica; McFarlene, Delano; Contrada, Richard J.. Journal of Social & Clinical Psychology, Feb2008, Vol. 27 Issue 2, p150-173

Using term frequency to identify trends in the media's coverage of health
McFarlane DJ, Kukafka R., AMIA Annu Symp Proc. 2007 Oct 11:1045.
download

Healthy Harlem: empowering health consumers through social networking, tailoring and web 2.0 technologies.
Khan SA, McFarlane DJ, Li J, Ancker JS, Hutchinson C, Cohall A, Kukafka R., AMIA Annu Symp Proc. 2007 Oct 11:1007.

Digital partnerships for health: steps to develop a community-specific health portal aimed at promoting health and well-being.
Kukafka R, Khan SA, Hutchinson C, McFarlane DJ, Li J, Ancker JS, Cohall A., AMIA Annu Symp Proc. 2007 Oct 11:428-32.
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Recent Research Links

Weka 3 - Data Mining with Open Source Machine Learning Software in Java
A data mining and machine learning toolkit, that everyone seems to be using or suggests using.
nbc:: A naive bayes classifier
A very simple, easy to use naive Bayes classifier. Mostly for testing purposes. Uses awk.
The Lemur Toolkit for Language Modeling and Information Retrieval
Mark Greenwood's Website
A noun phrase chunker
http://tamsys.sourceforge.net/
Qualitative text annotation research tool

click for my

last update on 11/19/2009